METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR ACCESSING A MULTI-FORMAT DATA OBJECT

• US 20090164510A1
• Filed: 12/19/2007
• Published: 06/25/2009
• Est. Priority Date: 12/19/2007
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bostian, Joseph A.
• Granted Patent: US 8,352,509 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/205 Parsing

Abstract

A method for accessing a multi-format data object stored on a computer readable storage medium is provided. The method includes receiving a request to read a markup language (ML) document stored in a text format section of the multi-format data object. The method further includes locating a binary format section of the multi-format data object, where the binary format section includes a parsed binary representation of the ML document. The method additionally includes returning the parsed binary representation of the ML document in response to the request. A system, and computer program product are also provided.

Claims

1. A method for accessing a multi-format data object stored on a computer readable storage medium, the method comprising:

receiving a request to read a markup language (ML) document stored in a text format section of the multi-format data object;

locating a binary format section of the multi-format data object, wherein the binary format section includes a parsed binary representation of the ML document; and

returning the parsed binary representation of the ML document in response to the request.

2. The method of claim 1 wherein the multi-format data object further comprises a metadata section including a pointer to at least one of the text format section and the binary format section.

3. The method of claim 2 wherein the pointer is an offset to the binary format section, and the locating identifies a starting position of the binary format section via the pointer.

4. The method of claim 2 wherein the metadata section further comprises statistics associated with contents of the ML document.

5. The method of claim 4 wherein the statistics include at least one of a summary of data types within the ML document and encoding of a text form of the ML document.

6. The method of claim 2 wherein the metadata section further includes characteristics of parsing operations performed to generate the binary representation of the ML document.

7. The method of claim 1 wherein the parsed binary representation of the ML document is generated via an ML parser and stored in the binary format section in response to an update of the ML document stored in the text format section.

8. A system for accessing a multi-format data object, comprising:

a host system in communication with a data storage device, wherein the data storage device holds a multi-format data object; and

a markup language (ML) file manager executing upon the host system, the ML file manager including a multi-format data object interface, the multi-format data object interface performing;

receiving a request to read an ML document stored in a text format section of the multi-format data object;

locating a binary format section of the multi-format data object, wherein the binary format section includes a parsed binary representation of the ML document; and

returning the parsed binary representation of the ML document in response to the request.

9. The system of claim 8 wherein the multi-format data object further comprises a metadata section including a pointer to at least one of the text format section and the binary format section.

10. The system of claim 9 wherein the pointer is an offset to the binary format section, and the locating identifies a starting position of the binary format section via the pointer.

11. The system of claim 9 wherein the metadata section further comprises statistics associated with contents of the ML document.

12. The system of claim 11 wherein the statistics include at least one of a summary of data types within the ML document and encoding of a text form of the ML document.

13. The system of claim 9 wherein the metadata section further includes characteristics of parsing operations performed to generate the binary representation of the ML document.

14. The system of claim 8 wherein the parsed binary representation of the ML document is generated via an ML parser and stored in the binary format section in response to an update of the ML document stored in the text format section.

15. A computer program product for creating a multi-format data object, the computer program product comprising:

a storage medium readable by a processing circuit and storing instructions for execution by the processing circuit for implementing a method, the method comprising;

creating a multi-format data object, the multi-format data object comprising;

a text format markup language (ML) document in a text format section of the multi-format data object;

a parsed binary format ML document in a binary format section of the multi-format data object, wherein the parsed binary format ML document provides a parsed representation of the text format ML document to an ML consumer; and

a pointer in a metadata section of the multi-format data object, wherein the pointer provides access to at least one of the text format section and the binary format section.

16. The computer program product of claim 15 wherein the pointer is an offset to the binary format section, identifying a starting position of the binary format section.

17. The computer program product of claim 15 wherein the metadata section further comprises statistics associated with contents of the parsed binary format ML document.

18. The computer program product of claim 17 wherein the statistics include at least one of a summary of data types within the ML document and encoding of a text form of the ML document.

19. The computer program product of claim 15 wherein the metadata section further includes characteristics of parsing operations performed to generate the binary representation of the ML document.

20. The computer program product of claim 15 wherein the parsed binary format ML document is generated via an ML parser and written to the binary format section in response to an update of the text format ML document in the text format section.